{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import quant_pipeline\n",
    "from quant_pipeline import plot_echarts as echart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据\n",
    "echarts_data = [\n",
    "    [\"2015-10-16\", 18.4, 18.58, 18.33, 18.79, 67.00, 1, 0.04, 0.11, 0.09],\n",
    "    [\"2015-10-19\", 18.56, 18.25, 18.19, 18.56, 55.00, 0, -0.00, 0.08, 0.09],\n",
    "    [\"2015-10-20\", 18.3, 18.22, 18.05, 18.41, 37.00, 0, 0.01, 0.09, 0.09],\n",
    "    [\"2015-10-21\", 18.18, 18.69, 18.02, 18.98, 89.00, 0, 0.03, 0.10, 0.08],\n",
    "    [\"2015-10-22\", 18.42, 18.29, 18.22, 18.48, 43.00, 0, -0.06, 0.05, 0.08],\n",
    "    [\"2015-10-23\", 18.26, 18.19, 18.08, 18.36, 46.00, 0, -0.10, 0.03, 0.09],\n",
    "    [\"2015-10-26\", 18.33, 18.07, 17.98, 18.35, 65.00, 0, -0.15, 0.03, 0.10],\n",
    "    [\"2015-10-27\", 18.08, 18.04, 17.88, 18.13, 37.00, 0, -0.19, 0.03, 0.12],\n",
    "    [\"2015-10-28\", 17.96, 17.86, 17.82, 17.99, 35.00, 0, -0.24, 0.03, 0.15],\n",
    "    [\"2015-10-29\", 17.85, 17.81, 17.8, 17.93, 27.00, 0, -0.24, 0.06, 0.18],\n",
    "    [\"2015-10-30\", 17.79, 17.93, 17.78, 18.08, 43.00, 0, -0.22, 0.11, 0.22],\n",
    "    [\"2015-11-02\", 17.78, 17.83, 17.78, 18.04, 27.00, 0, -0.20, 0.15, 0.25],\n",
    "    [\"2015-11-03\", 17.84, 17.9, 17.84, 18.06, 34.00, 0, -0.12, 0.22, 0.28],\n",
    "    [\"2015-11-04\", 17.97, 18.36, 17.85, 18.39, 62.00, 0, -0.00, 0.30, 0.30],\n",
    "    [\"2015-11-05\", 18.3, 18.57, 18.18, 19.08, 177.00, 0, 0.07, 0.33, 0.30],\n",
    "    [\"2015-11-06\", 18.53, 18.68, 18.3, 18.71, 95.00, 0, 0.12, 0.35, 0.29],\n",
    "    [\"2015-11-09\", 18.75, 19.08, 18.75, 19.98, 202.00, 1, 0.16, 0.35, 0.27],\n",
    "    [\"2015-11-10\", 18.85, 18.64, 18.56, 18.99, 85.00, 0, 0.09, 0.29, 0.25],\n",
    "    [\"2015-11-11\", 18.64, 18.44, 18.31, 18.64, 50.00, 0, 0.06, 0.27, 0.23],\n",
    "    [\"2015-11-12\", 18.55, 18.27, 18.17, 18.57, 43.00, 0, 0.05, 0.25, 0.23],\n",
    "    [\"2015-11-13\", 18.13, 18.14, 18.09, 18.34, 35.00, 0, 0.05, 0.24, 0.22],\n",
    "    [\"2015-11-16\", 18.01, 18.1, 17.93, 18.17, 34.00, 0, 0.07, 0.25, 0.21],\n",
    "    [\"2015-11-17\", 18.2, 18.14, 18.08, 18.45, 58.00, 0, 0.11, 0.25, 0.20],\n",
    "    [\"2015-11-18\", 18.23, 18.16, 18.0, 18.45, 47.00, 0, 0.13, 0.25, 0.19],\n",
    "    [\"2015-11-19\", 18.08, 18.2, 18.05, 18.25, 32.00, 0, 0.15, 0.24, 0.17],\n",
    "    [\"2015-11-20\", 18.15, 18.15, 18.11, 18.29, 36.00, 0, 0.13, 0.21, 0.15],\n",
    "    [\"2015-11-23\", 18.16, 18.19, 18.12, 18.34, 47.00, 0, 0.11, 0.18, 0.13],\n",
    "    [\"2015-11-24\", 18.23, 17.88, 17.7, 18.23, 62.00, 0, 0.03, 0.13, 0.11],\n",
    "    [\"2015-11-25\", 17.85, 17.73, 17.56, 17.85, 66.00, 0, -0.03, 0.09, 0.11],\n",
    "    [\"2015-11-26\", 17.79, 17.53, 17.5, 17.92, 63.00, 0, -0.10, 0.06, 0.11],\n",
    "    [\"2015-11-27\", 17.51, 17.04, 16.9, 17.51, 67.00, 0, -0.16, 0.05, 0.13],\n",
    "    [\"2015-11-30\", 17.07, 17.2, 16.98, 17.32, 55.00, 0, -0.12, 0.09, 0.15],\n",
    "    [\"2015-12-01\", 17.28, 17.11, 16.91, 17.28, 39.00, 0, -0.09, 0.12, 0.16],\n",
    "    [\"2015-12-02\", 17.13, 17.91, 17.05, 17.99, 102.00, 0, -0.01, 0.17, 0.18],\n",
    "    [\"2015-12-03\", 17.8, 17.78, 17.61, 17.98, 71.00, 0, -0.09, 0.14, 0.18],\n",
    "    [\"2015-12-04\", 17.6, 17.25, 17.13, 17.69, 51.00, 0, -0.18, 0.10, 0.19],\n",
    "    [\"2015-12-07\", 17.2, 17.39, 17.15, 17.45, 43.00, 0, -0.19, 0.12, 0.22],\n",
    "    [\"2015-12-08\", 17.3, 17.42, 17.18, 17.62, 45.00, 0, -0.23, 0.13, 0.24],\n",
    "    [\"2015-12-09\", 17.33, 17.39, 17.32, 17.59, 44.00, 0, -0.29, 0.13, 0.28],\n",
    "    [\"2015-12-10\", 17.39, 17.26, 17.21, 17.65, 44.00, 0, -0.37, 0.13, 0.32],\n",
    "    [\"2015-12-11\", 17.23, 16.92, 16.66, 17.26, 114.00, 1, -0.44, 0.15, 0.37],\n",
    "    [\"2015-12-14\", 16.75, 17.06, 16.5, 17.09, 94.00, 0, -0.44, 0.21, 0.44],\n",
    "    [\"2015-12-15\", 17.03, 17.03, 16.9, 17.06, 46.00, 0, -0.44, 0.28, 0.50],\n",
    "    [\"2015-12-16\", 17.08, 16.96, 16.87, 17.09, 30.00, 0, -0.40, 0.36, 0.56],\n",
    "    [\"2015-12-17\", 17.0, 17.1, 16.95, 17.12, 50.00, 0, -0.30, 0.47, 0.62],\n",
    "    [\"2015-12-18\", 17.09, 17.52, 17.04, 18.06, 156.00, 0, -0.14, 0.59, 0.66],\n",
    "    [\"2015-12-21\", 17.43, 18.23, 17.35, 18.45, 152.00, 1, 0.02, 0.69, 0.68],\n",
    "    [\"2015-12-22\", 18.14, 18.27, 18.06, 18.32, 94.00, 0, 0.08, 0.72, 0.68],\n",
    "    [\"2015-12-23\", 18.28, 18.19, 18.17, 18.71, 108.00, 0, 0.13, 0.73, 0.67],\n",
    "    [\"2015-12-24\", 18.18, 18.14, 18.01, 18.31, 37.00, 0, 0.19, 0.74, 0.65],\n",
    "    [\"2015-12-25\", 18.22, 18.33, 18.2, 18.36, 48.00, 0, 0.26, 0.75, 0.62],\n",
    "    [\"2015-12-28\", 18.35, 17.84, 17.8, 18.39, 48.00, 0, 0.27, 0.72, 0.59],\n",
    "    [\"2015-12-29\", 17.83, 17.94, 17.71, 17.97, 36.00, 0, 0.36, 0.73, 0.55],\n",
    "    [\"2015-12-30\", 17.9, 18.26, 17.55, 18.3, 71.00, 1, 0.43, 0.71, 0.50],\n",
    "    [\"2015-12-31\", 18.12, 17.99, 17.91, 18.33, 72.00, 0, 0.40, 0.63, 0.43],\n",
    "    [\"2016-01-04\", 17.91, 17.28, 17.16, 17.95, 37.00, 1, 0.34, 0.55, 0.38],\n",
    "    [\"2016-01-05\", 17.17, 17.23, 17.0, 17.55, 51.00, 0, 0.37, 0.51, 0.33],\n",
    "    [\"2016-01-06\", 17.2, 17.31, 17.06, 17.33, 31.00, 0, 0.37, 0.46, 0.28],\n",
    "    [\"2016-01-07\", 17.15, 16.67, 16.51, 17.15, 19.00, 0, 0.30, 0.37, 0.22],\n",
    "    [\"2016-01-08\", 16.8, 16.81, 16.61, 17.06, 60.00, 0, 0.29, 0.32, 0.18],\n",
    "    [\"2016-01-11\", 16.68, 16.04, 16.0, 16.68, 65.00, 0, 0.20, 0.24, 0.14],\n",
    "    [\"2016-01-12\", 16.03, 15.98, 15.88, 16.25, 46.00, 0, 0.20, 0.21, 0.11],\n",
    "    [\"2016-01-13\", 16.21, 15.87, 15.78, 16.21, 57.00, 0, 0.20, 0.18, 0.08],\n",
    "    [\"2016-01-14\", 15.55, 15.89, 15.52, 15.96, 42.00, 0, 0.20, 0.16, 0.05],\n",
    "    [\"2016-01-15\", 15.87, 15.48, 15.45, 15.92, 34.00, 1, 0.17, 0.11, 0.02],\n",
    "    [\"2016-01-18\", 15.39, 15.42, 15.36, 15.7, 26.00, 0, 0.21, 0.10, -0.00],\n",
    "    [\"2016-01-19\", 15.58, 15.71, 15.35, 15.77, 38.00, 0, 0.25, 0.09, -0.03],\n",
    "    [\"2016-01-20\", 15.56, 15.52, 15.24, 15.68, 38.00, 0, 0.23, 0.05, -0.07],\n",
    "    [\"2016-01-21\", 15.41, 15.3, 15.28, 15.68, 35.00, 0, 0.21, 0.00, -0.10],\n",
    "    [\"2016-01-22\", 15.48, 15.28, 15.13, 15.49, 30.00, 0, 0.21, -0.02, -0.13],\n",
    "    [\"2016-01-25\", 15.29, 15.48, 15.2, 15.49, 21.00, 0, 0.20, -0.06, -0.16],\n",
    "    [\"2016-01-26\", 15.33, 14.86, 14.78, 15.39, 30.00, 0, 0.12, -0.13, -0.19],\n",
    "    [\"2016-01-27\", 14.96, 15.0, 14.84, 15.22, 51.00, 0, 0.13, -0.14, -0.20],\n",
    "    [\"2016-01-28\", 14.96, 14.72, 14.62, 15.06, 25.00, 0, 0.10, -0.17, -0.22],\n",
    "    [\"2016-01-29\", 14.75, 14.99, 14.62, 15.08, 36.00, 0, 0.13, -0.17, -0.24],\n",
    "    [\"2016-02-01\", 14.98, 14.72, 14.48, 15.18, 27.00, 0, 0.10, -0.21, -0.26],\n",
    "    [\"2016-02-02\", 14.65, 14.85, 14.65, 14.95, 18.00, 0, 0.11, -0.21, -0.27],\n",
    "    [\"2016-02-03\", 14.72, 14.67, 14.55, 14.8, 23.00, 0, 0.10, -0.24, -0.29],\n",
    "    [\"2016-02-04\", 14.79, 14.88, 14.69, 14.93, 22.00, 0, 0.13, -0.24, -0.30],\n",
    "    [\"2016-02-05\", 14.9, 14.86, 14.78, 14.93, 16.00, 0, 0.12, -0.26, -0.32],\n",
    "    [\"2016-02-15\", 14.5, 14.66, 14.47, 14.82, 19.00, 0, 0.11, -0.28, -0.34],\n",
    "    [\"2016-02-16\", 14.77, 14.94, 14.72, 15.05, 26.00, 0, 0.14, -0.28, -0.35],\n",
    "    [\"2016-02-17\", 14.95, 15.03, 14.88, 15.07, 38.00, 0, 0.12, -0.31, -0.37],\n",
    "    [\"2016-02-18\", 14.95, 14.9, 14.87, 15.06, 28.00, 0, 0.07, -0.35, -0.39],\n",
    "    [\"2016-02-19\", 14.9, 14.75, 14.68, 14.94, 22.00, 0, 0.03, -0.38, -0.40],\n",
    "    [\"2016-02-22\", 14.88, 15.01, 14.79, 15.11, 38.00, 1, 0.01, -0.40, -0.40],\n",
    "    [\"2016-02-23\", 15.01, 14.83, 14.72, 15.01, 24.00, 0, -0.09, -0.45, -0.40],\n",
    "    [\"2016-02-24\", 14.75, 14.81, 14.67, 14.87, 21.00, 0, -0.17, -0.48, -0.39],\n",
    "    [\"2016-02-25\", 14.81, 14.25, 14.21, 14.81, 51.00, 1, -0.27, -0.50, -0.37],\n",
    "    [\"2016-02-26\", 14.35, 14.45, 14.28, 14.57, 28.00, 0, -0.26, -0.46, -0.33],\n",
    "    [\"2016-02-29\", 14.43, 14.56, 14.04, 14.6, 48.00, 0, -0.25, -0.41, -0.29],\n",
    "    [\"2016-03-01\", 14.56, 14.65, 14.36, 14.78, 32.00, 0, -0.21, -0.36, -0.25],\n",
    "    [\"2016-03-02\", 14.79, 14.96, 14.72, 14.97, 60.00, 0, -0.13, -0.29, -0.22],\n",
    "    [\"2016-03-03\", 14.95, 15.15, 14.91, 15.19, 53.00, 1, -0.05, -0.23, -0.21],\n",
    "    [\"2016-03-04\", 15.14, 15.97, 15.02, 16.02, 164.00, 1, 0.06, -0.17, -0.20],\n",
    "    [\"2016-03-07\", 15.9, 15.78, 15.65, 16.0, 41.00, 0, 0.04, -0.19, -0.21],\n",
    "    [\"2016-03-08\", 15.78, 15.96, 15.21, 15.99, 45.00, 0, 0.05, -0.19, -0.21],\n",
    "    [\"2016-03-09\", 15.73, 16.05, 15.41, 16.08, 74.00, 0, 0.03, -0.20, -0.22],\n",
    "    [\"2016-03-10\", 15.82, 15.66, 15.65, 15.98, 19.00, 0, -0.02, -0.23, -0.22],\n",
    "    [\"2016-03-11\", 15.59, 15.76, 15.42, 15.78, 32.00, 0, 0.01, -0.22, -0.22],\n",
    "    [\"2016-03-14\", 15.78, 15.72, 15.65, 16.04, 31.00, 0, 0.03, -0.20, -0.22],\n",
    "    [\"2016-03-15\", 15.81, 15.86, 15.6, 15.99, 35.00, 0, 0.10, -0.18, -0.23],\n",
    "    [\"2016-03-16\", 15.88, 16.42, 15.79, 16.45, 123.00, 0, 0.17, -0.16, -0.24],\n",
    "    [\"2016-03-17\", 16.39, 16.23, 16.11, 16.4, 46.00, 0, 0.14, -0.20, -0.26],\n",
    "    [\"2016-03-18\", 16.39, 16.17, 16.04, 16.4, 59.00, 0, 0.13, -0.22, -0.28],\n",
    "    [\"2016-03-21\", 16.21, 16.22, 16.11, 16.44, 50.00, 0, 0.12, -0.24, -0.30],\n",
    "    [\"2016-03-22\", 16.27, 16.19, 16.16, 16.42, 33.00, 0, 0.10, -0.27, -0.32],\n",
    "    [\"2016-03-23\", 16.26, 16.18, 16.18, 16.29, 19.00, 0, 0.08, -0.30, -0.33],\n",
    "    [\"2016-03-24\", 16.18, 16.11, 16.01, 16.23, 23.00, 0, 0.04, -0.33, -0.35],\n",
    "    [\"2016-03-25\", 16.12, 16.13, 16.1, 16.2, 15.00, 0, 0.00, -0.35, -0.35],\n",
    "    [\"2016-03-28\", 16.15, 15.85, 15.81, 16.2, 22.00, 0, -0.06, -0.38, -0.35],\n",
    "    [\"2016-03-29\", 15.9, 15.79, 15.76, 16.05, 19.00, 0, -0.06, -0.37, -0.34],\n",
    "    [\"2016-03-30\", 15.79, 16.24, 15.78, 16.3, 29.00, 0, -0.03, -0.35, -0.33],\n",
    "    [\"2016-03-31\", 16.3, 16.09, 16.02, 16.35, 25.00, 0, -0.07, -0.37, -0.33],\n",
    "    [\"2016-04-01\", 16.18, 16.27, 15.98, 16.3, 38.00, 0, -0.08, -0.36, -0.32],\n",
    "    [\"2016-04-05\", 16.13, 16.34, 16.07, 16.37, 39.00, 0, -0.13, -0.37, -0.31],\n",
    "    [\"2016-04-06\", 16.21, 16.26, 16.19, 16.35, 30.00, 0, -0.20, -0.39, -0.29],\n",
    "    [\"2016-04-07\", 16.32, 16.1, 16.05, 16.35, 29.00, 1, -0.26, -0.39, -0.26],\n",
    "    [\"2016-04-08\", 16.0, 16.16, 15.98, 16.21, 22.00, 0, -0.28, -0.37, -0.23],\n",
    "    [\"2016-04-11\", 16.16, 16.31, 16.15, 16.57, 31.00, 0, -0.30, -0.33, -0.19],\n",
    "    [\"2016-04-12\", 16.41, 16.29, 16.12, 16.41, 17.00, 0, -0.31, -0.30, -0.14],\n",
    "    [\"2016-04-13\", 16.39, 16.48, 16.0, 16.68, 40.00, 0, -0.30, -0.25, -0.10],\n",
    "    [\"2016-04-14\", 16.5, 16.46, 16.37, 16.68, 22.00, 0, -0.27, -0.19, -0.06],\n",
    "    [\"2016-04-15\", 16.56, 16.93, 16.46, 17.04, 58.00, 0, -0.20, -0.12, -0.02],\n",
    "    [\"2016-04-18\", 16.76, 17.06, 16.72, 17.27, 50.00, 0, -0.16, -0.07, 0.01],\n",
    "    [\"2016-04-19\", 17.21, 17.11, 17.02, 17.23, 30.00, 0, -0.12, -0.02, 0.03],\n",
    "    [\"2016-04-20\", 17.11, 17.33, 16.8, 17.36, 78.00, 0, -0.04, 0.03, 0.05],\n",
    "    [\"2016-04-21\", 17.27, 17.69, 17.17, 17.93, 79.00, 0, 0.05, 0.08, 0.06],\n",
    "    [\"2016-04-22\", 17.6, 17.87, 17.56, 18.02, 55.00, 0, 0.09, 0.10, 0.05],\n",
    "    [\"2016-04-25\", 17.75, 17.9, 17.41, 17.96, 39.00, 1, 0.11, 0.09, 0.04],\n",
    "    [\"2016-04-26\", 17.81, 17.91, 17.6, 17.95, 39.00, 0, 0.12, 0.08, 0.02],\n",
    "    [\"2016-04-27\", 17.9, 17.88, 17.81, 17.95, 25.00, 0, 0.12, 0.06, 0.00],\n",
    "    [\"2016-04-28\", 17.93, 17.88, 17.67, 17.93, 28.00, 0, 0.11, 0.04, -0.01],\n",
    "    [\"2016-04-29\", 17.87, 17.75, 17.73, 17.92, 19.00, 0, 0.08, 0.01, -0.03],\n",
    "    [\"2016-05-03\", 17.79, 17.7, 17.56, 17.85, 35.00, 0, 0.05, -0.01, -0.04],\n",
    "    [\"2016-05-04\", 17.7, 17.65, 17.59, 17.71, 24.00, 0, 0.02, -0.04, -0.05],\n",
    "    [\"2016-05-05\", 17.65, 17.62, 17.46, 17.7, 20.00, 0, -0.03, -0.06, -0.05],\n",
    "    [\"2016-05-06\", 17.62, 17.32, 17.3, 17.65, 29.00, 0, -0.10, -0.09, -0.05],\n",
    "    [\"2016-05-09\", 17.33, 17.3, 17.21, 17.45, 23.00, 0, -0.13, -0.10, -0.03],\n",
    "    [\"2016-05-10\", 17.11, 17.04, 16.98, 17.41, 28.00, 0, -0.15, -0.09, -0.01],\n",
    "    [\"2016-05-11\", 17.06, 17.15, 17.06, 17.32, 20.00, 0, -0.12, -0.05, 0.01],\n",
    "    [\"2016-05-12\", 17.02, 17.46, 17.02, 17.58, 26.00, 0, -0.07, -0.01, 0.03],\n",
    "    [\"2016-05-13\", 17.41, 17.57, 17.34, 17.62, 23.00, 0, -0.06, 0.01, 0.03],\n",
    "    [\"2016-05-16\", 17.55, 17.5, 17.48, 17.64, 37.00, 0, -0.06, 0.01, 0.04],\n",
    "    [\"2016-05-17\", 17.49, 17.48, 17.39, 17.53, 13.00, 0, -0.03, 0.03, 0.05],\n",
    "    [\"2016-05-18\", 17.41, 17.82, 17.39, 17.87, 46.00, 0, 0.01, 0.06, 0.06],\n",
    "    [\"2016-05-19\", 17.74, 17.81, 17.67, 17.86, 17.00, 0, -0.01, 0.05, 0.05],\n",
    "    [\"2016-05-20\", 17.76, 17.88, 17.7, 17.93, 14.00, 0, -0.03, 0.04, 0.06],\n",
    "    [\"2016-05-23\", 17.88, 17.52, 17.48, 17.97, 16.00, 0, -0.09, 0.02, 0.06],\n",
    "    [\"2016-05-24\", 17.51, 17.33, 17.32, 17.51, 8.00, 0, -0.09, 0.03, 0.07],\n",
    "    [\"2016-05-25\", 17.59, 17.55, 17.44, 17.59, 10.00, 0, -0.03, 0.07, 0.08],\n",
    "    [\"2016-05-26\", 17.5, 17.69, 17.5, 17.8, 12.00, 0, 0.00, 0.09, 0.09],\n",
    "    [\"2016-05-27\", 17.77, 17.66, 17.62, 17.77, 7.00, 0, 0.03, 0.10, 0.09],\n",
    "    [\"2016-05-30\", 17.75, 17.84, 17.62, 17.87, 20.00, 0, 0.08, 0.12, 0.08],\n",
    "    [\"2016-05-31\", 17.88, 18.0, 17.81, 18.03, 41.00, 0, 0.10, 0.12, 0.07],\n",
    "    [\"2016-06-01\", 18.09, 17.83, 17.73, 18.09, 22.00, 0, 0.08, 0.10, 0.06],\n",
    "    [\"2016-06-02\", 17.82, 17.73, 17.66, 17.88, 10.00, 0, 0.07, 0.08, 0.05],\n",
    "    [\"2016-06-03\", 17.8, 17.78, 17.71, 17.83, 9.00, 0, 0.08, 0.08, 0.04],\n",
    "    [\"2016-06-06\", 17.73, 17.64, 17.56, 17.83, 12.00, 0, 0.07, 0.06, 0.03],\n",
    "    [\"2016-06-07\", 17.76, 17.8, 17.59, 17.87, 11.00, 0, 0.08, 0.06, 0.02],\n",
    "    [\"2016-06-08\", 17.75, 17.77, 17.65, 17.84, 9.00, 0, 0.04, 0.03, 0.01],\n",
    "    [\"2016-06-13\", 17.58, 17.32, 17.29, 17.79, 16.00, 0, -0.02, -0.01, 0.00],\n",
    "    [\"2016-06-14\", 17.33, 17.38, 17.29, 17.5, 10.00, 0, -0.01, 0.00, 0.00],\n",
    "    [\"2016-06-15\", 17.25, 17.39, 17.25, 17.46, 18.00, 0, 0.00, 0.01, 0.00],\n",
    "    [\"2016-06-16\", 17.26, 17.4, 17.26, 17.46, 22.00, 0, 0.01, 0.01, 0.00],\n",
    "    [\"2016-06-17\", 17.38, 17.5, 17.37, 17.67, 13.00, 0, 0.03, 0.02, 0.00],\n",
    "    [\"2016-06-20\", 17.62, 17.51, 17.42, 17.63, 15.00, 0, 0.03, 0.01, -0.00],\n",
    "    [\"2016-06-21\", 17.53, 17.54, 17.5, 17.7, 11.00, 0, 0.02, 0.00, -0.01],\n",
    "    [\"2016-06-22\", 17.5, 17.5, 17.46, 17.6, 10.00, 0, -0.01, -0.01, -0.01],\n",
    "    [\"2016-06-23\", 17.52, 17.26, 17.24, 17.53, 16.00, 0, -0.04, -0.03, -0.01],\n",
    "    [\"2016-06-24\", 17.26, 17.25, 17.18, 17.38, 60.00, 0, -0.03, -0.02, -0.00],\n",
    "    [\"2016-06-27\", 17.25, 17.28, 17.18, 17.33, 19.00, 0, -0.01, -0.00, 0.00],\n",
    "    [\"2016-06-28\", 17.25, 17.29, 17.21, 17.32, 13.00, 0, 0.02, 0.01, 0.00],\n",
    "    [\"2016-06-29\", 17.31, 17.45, 17.27, 17.49, 21.00, 0, 0.07, 0.04, 0.00],\n",
    "    [\"2016-06-30\", 17.47, 17.5, 17.39, 17.55, 17.00, 0, 0.11, 0.04, -0.01],\n",
    "    [\"2016-07-01\", 17.5, 17.63, 17.49, 17.66, 10.00, 0, 0.14, 0.05, -0.03],\n",
    "    [\"2016-07-04\", 17.63, 17.72, 17.63, 17.92, 17.00, 0, 0.16, 0.03, -0.05],\n",
    "    [\"2016-07-05\", 17.79, 17.56, 17.45, 17.79, 18.00, 0, 0.14, 0.00, -0.07],\n",
    "    [\"2016-07-06\", 17.53, 17.42, 17.31, 17.54, 20.00, 0, 0.14, -0.02, -0.09],\n",
    "    [\"2016-07-07\", 17.41, 17.51, 17.35, 17.52, 15.00, 0, 0.16, -0.03, -0.11],\n",
    "    [\"2016-07-08\", 17.5, 17.39, 17.35, 17.51, 15.00, 0, 0.16, -0.05, -0.13],\n",
    "    [\"2016-07-11\", 17.49, 17.48, 17.4, 17.55, 16.00, 0, 0.17, -0.07, -0.15],\n",
    "    [\"2016-07-12\", 17.48, 17.71, 17.46, 17.75, 25.00, 0, 0.16, -0.10, -0.18],\n",
    "    [\"2016-07-13\", 17.13, 17.05, 17.02, 17.39, 28.00, 0, 0.07, -0.17, -0.20],\n",
    "    [\"2016-07-14\", 17.07, 17.09, 17.0, 17.16, 12.00, 0, 0.08, -0.17, -0.21],\n",
    "    [\"2016-07-15\", 17.08, 17.14, 17.08, 17.17, 11.00, 0, 0.09, -0.18, -0.22],\n",
    "    [\"2016-07-18\", 17.15, 17.26, 17.13, 17.49, 24.00, 0, 0.10, -0.19, -0.23],\n",
    "    [\"2016-07-19\", 17.26, 17.12, 17.09, 17.33, 13.00, 0, 0.07, -0.21, -0.25],\n",
    "    [\"2016-07-20\", 17.1, 17.07, 17.02, 17.14, 11.00, 0, 0.06, -0.23, -0.26],\n",
    "    [\"2016-07-21\", 17.07, 17.24, 17.07, 17.27, 14.00, 0, 0.07, -0.23, -0.27],\n",
    "    [\"2016-07-22\", 17.25, 17.08, 17.03, 17.25, 10.00, 0, 0.04, -0.26, -0.28],\n",
    "    [\"2016-07-25\", 17.09, 17.12, 17.01, 17.18, 8.00, 0, 0.04, -0.26, -0.28],\n",
    "    [\"2016-07-26\", 17.05, 17.17, 17.05, 17.2, 11.00, 0, 0.04, -0.27, -0.29],\n",
    "    [\"2016-07-27\", 17.2, 17.37, 16.89, 17.38, 32.00, 0, 0.02, -0.28, -0.29],\n",
    "    [\"2016-07-28\", 17.19, 17.14, 17.09, 17.29, 19.00, 0, -0.04, -0.32, -0.30],\n",
    "    [\"2016-07-29\", 17.15, 17.16, 17.04, 17.23, 12.00, 0, -0.08, -0.33, -0.29],\n",
    "    [\"2016-08-01\", 17.15, 17.18, 17.1, 17.24, 19.00, 0, -0.13, -0.34, -0.28],\n",
    "    [\"2016-08-02\", 17.21, 17.15, 17.12, 17.25, 9.00, 0, -0.19, -0.36, -0.26],\n",
    "    [\"2016-08-03\", 17.08, 17.07, 17.01, 17.16, 9.00, 0, -0.25, -0.36, -0.24],\n",
    "    [\"2016-08-04\", 17.11, 17.06, 16.98, 17.12, 11.00, 1, -0.29, -0.35, -0.20],\n",
    "    [\"2016-08-05\", 17.06, 17.1, 17.05, 17.15, 16.00, 0, -0.33, -0.32, -0.16],\n",
    "    [\"2016-08-08\", 17.14, 17.13, 17.07, 17.15, 13.00, 0, -0.35, -0.29, -0.11],\n",
    "    [\"2016-08-09\", 17.13, 17.17, 17.1, 17.2, 25.00, 0, -0.35, -0.24, -0.06],\n",
    "    [\"2016-08-10\", 17.17, 17.28, 17.15, 17.29, 18.00, 0, -0.31, -0.17, -0.01],\n",
    "    [\"2016-08-11\", 17.3, 17.45, 17.26, 17.87, 31.00, 0, -0.24, -0.09, 0.03],\n",
    "    [\"2016-08-12\", 17.51, 17.99, 17.47, 18.0, 44.00, 0, -0.14, -0.00, 0.07],\n",
    "    [\"2016-08-15\", 18.1, 18.42, 18.02, 18.99, 81.00, 0, -0.09, 0.04, 0.09],\n",
    "    [\"2016-08-16\", 18.64, 18.31, 18.12, 18.87, 60.00, 0, -0.10, 0.05, 0.10],\n",
    "    [\"2016-08-17\", 18.43, 18.4, 18.31, 18.68, 21.00, 0, -0.08, 0.08, 0.11],\n",
    "    [\"2016-08-18\", 18.33, 18.23, 18.13, 18.65, 32.00, 0, -0.07, 0.09, 0.13],\n",
    "    [\"2016-08-19\", 18.34, 18.62, 18.31, 18.75, 39.00, 0, 0.00, 0.14, 0.14],\n",
    "    [\"2016-08-22\", 18.62, 18.69, 18.51, 18.8, 20.00, 0, 0.01, 0.14, 0.13],\n",
    "    [\"2016-08-23\", 18.61, 18.66, 18.52, 19.0, 28.00, 0, 0.01, 0.14, 0.13],\n",
    "    [\"2016-08-24\", 18.66, 18.62, 18.43, 18.7, 19.00, 0, 0.00, 0.13, 0.13],\n",
    "    [\"2016-08-25\", 18.57, 18.51, 18.19, 18.64, 19.00, 0, -0.00, 0.13, 0.13],\n",
    "    [\"2016-08-26\", 18.49, 18.55, 18.44, 18.6, 16.00, 0, 0.01, 0.13, 0.13],\n",
    "    [\"2016-08-29\", 18.46, 18.27, 18.03, 18.48, 20.00, 0, 0.01, 0.13, 0.13],\n",
    "    [\"2016-08-30\", 18.24, 18.44, 18.23, 18.52, 19.00, 0, 0.07, 0.17, 0.13],\n",
    "    [\"2016-08-31\", 18.36, 18.63, 18.36, 18.76, 15.00, 0, 0.13, 0.18, 0.12],\n",
    "    [\"2016-09-01\", 18.6, 18.62, 18.55, 18.78, 15.00, 0, 0.16, 0.18, 0.10],\n",
    "    [\"2016-09-02\", 18.52, 18.68, 18.48, 18.72, 17.00, 0, 0.19, 0.17, 0.08],\n",
    "    [\"2016-09-05\", 18.68, 18.75, 18.57, 18.82, 19.00, 0, 0.20, 0.15, 0.05],\n",
    "    [\"2016-09-06\", 18.75, 18.51, 18.43, 18.78, 17.00, 0, 0.18, 0.11, 0.02],\n",
    "    [\"2016-09-07\", 18.51, 18.56, 18.4, 18.62, 17.00, 0, 0.17, 0.08, -0.00],\n",
    "    [\"2016-09-08\", 18.58, 18.53, 18.48, 18.63, 8.00, 0, 0.13, 0.04, -0.03],\n",
    "    [\"2016-09-09\", 18.52, 18.33, 18.31, 18.57, 8.00, 0, 0.06, -0.02, -0.05],\n",
    "    [\"2016-09-12\", 18.16, 17.9, 17.81, 18.18, 28.00, 0, -0.02, -0.07, -0.06],\n",
    "    [\"2016-09-13\", 17.91, 17.91, 17.9, 18.08, 13.00, 0, -0.05, -0.08, -0.05],\n",
    "    [\"2016-09-14\", 17.99, 17.54, 17.48, 17.99, 22.00, 0, -0.09, -0.09, -0.05],\n",
    "    [\"2016-09-19\", 17.55, 17.81, 17.55, 17.88, 16.00, 0, -0.06, -0.06, -0.03],\n",
    "    [\"2016-09-20\", 17.8, 17.74, 17.67, 17.85, 10.00, 0, -0.06, -0.05, -0.02],\n",
    "    [\"2016-09-21\", 17.75, 17.88, 17.75, 17.95, 7.00, 0, -0.03, -0.03, -0.02],\n",
    "    [\"2016-09-22\", 17.99, 17.97, 17.88, 18.17, 12.00, 0, -0.02, -0.02, -0.01],\n",
    "    [\"2016-09-23\", 17.99, 17.98, 17.93, 18.09, 13.00, 0, -0.01, -0.01, -0.01],\n",
    "    [\"2016-09-26\", 17.91, 18.0, 17.85, 18.09, 14.00, 0, -0.00, -0.01, -0.01],\n",
    "    [\"2016-09-27\", 17.97, 18.07, 17.94, 18.1, 10.00, 0, 0.00, -0.01, -0.01],\n",
    "    [\"2016-09-28\", 18.06, 17.89, 17.83, 18.06, 10.00, 0, -0.00, -0.01, -0.01],\n",
    "    [\"2016-09-29\", 17.96, 18.0, 17.92, 18.07, 10.00, 0, 0.03, 0.01, -0.01],\n",
    "    [\"2016-09-30\", 17.96, 18.0, 17.95, 18.1, 8.00, 0, 0.06, 0.02, -0.01],\n",
    "    [\"2016-10-10\", 18.03, 18.3, 18.03, 18.38, 19.00, 0, 0.11, 0.04, -0.02],\n",
    "    [\"2016-10-11\", 18.33, 18.33, 18.26, 18.49, 12.00, 0, 0.10, 0.02, -0.04],\n",
    "    [\"2016-10-12\", 18.28, 18.15, 18.1, 18.31, 10.00, 0, 0.07, -0.02, -0.05],\n",
    "    [\"2016-10-13\", 18.15, 18.09, 18.05, 18.21, 10.00, 0, 0.06, -0.03, -0.06],\n",
    "    [\"2016-10-14\", 18.1, 18.1, 18.0, 18.15, 12.00, 0, 0.04, -0.05, -0.07],\n",
    "    [\"2016-10-17\", 18.07, 17.86, 17.83, 18.1, 12.00, 0, 0.01, -0.07, -0.08],\n",
    "    [\"2016-10-18\", 17.86, 17.93, 17.84, 17.99, 14.00, 0, 0.03, -0.07, -0.08],\n",
    "    [\"2016-10-19\", 17.93, 17.88, 17.83, 18.05, 11.00, 0, 0.03, -0.07, -0.08],\n",
    "    [\"2016-10-20\", 17.9, 17.89, 17.83, 17.98, 12.00, 0, 0.05, -0.06, -0.09],\n",
    "    [\"2016-10-21\", 17.91, 17.91, 17.82, 17.93, 12.00, 0, 0.07, -0.06, -0.09],\n",
    "    [\"2016-10-24\", 17.93, 18.31, 17.86, 18.42, 29.00, 0, 0.11, -0.05, -0.10],\n",
    "    [\"2016-10-25\", 18.31, 18.13, 18.09, 18.46, 19.00, 0, 0.06, -0.09, -0.12],\n",
    "    [\"2016-10-26\", 18.12, 17.97, 17.95, 18.15, 14.00, 0, 0.02, -0.12, -0.13],\n",
    "    [\"2016-10-27\", 18.06, 17.81, 17.77, 18.06, 21.00, 0, -0.01, -0.13, -0.13],\n",
    "    [\"2016-10-28\", 17.8, 17.9, 17.8, 18.05, 20.00, 0, -0.01, -0.13, -0.13],\n",
    "    [\"2016-10-31\", 17.87, 17.86, 17.72, 17.96, 12.00, 0, -0.02, -0.14, -0.13],\n",
    "    [\"2016-11-01\", 17.87, 17.98, 17.79, 17.99, 18.00, 0, -0.03, -0.14, -0.12],\n",
    "    [\"2016-11-02\", 17.86, 17.84, 17.76, 17.94, 30.00, 0, -0.06, -0.15, -0.12],\n",
    "    [\"2016-11-03\", 17.83, 17.93, 17.79, 17.97, 27.00, 0, -0.07, -0.14, -0.11],\n",
    "    [\"2016-11-04\", 17.9, 17.91, 17.87, 18.0, 26.00, 0, -0.09, -0.15, -0.10],\n",
    "    [\"2016-11-07\", 17.91, 17.89, 17.85, 17.93, 20.00, 0, -0.11, -0.14, -0.09],\n",
    "    [\"2016-11-08\", 17.92, 17.99, 17.89, 18.06, 26.00, 0, -0.12, -0.13, -0.07],\n",
    "    [\"2016-11-09\", 18.0, 17.89, 17.77, 18.08, 34.00, 0, -0.15, -0.13, -0.06],\n",
    "    [\"2016-11-10\", 17.95, 18.0, 17.94, 18.11, 27.00, 0, -0.15, -0.11, -0.03],\n",
    "    [\"2016-11-11\", 17.95, 18.02, 17.93, 18.08, 27.00, 0, -0.17, -0.10, -0.01],\n",
    "    [\"2016-11-14\", 18.0, 18.04, 17.95, 18.25, 35.00, 0, -0.18, -0.08, 0.01],\n",
    "    [\"2016-11-15\", 18.1, 18.18, 18.03, 18.24, 25.00, 0, -0.18, -0.06, 0.04],\n",
    "    [\"2016-11-16\", 18.23, 18.12, 18.05, 18.29, 23.00, 0, -0.21, -0.04, 0.06],\n",
    "    [\"2016-11-17\", 18.11, 18.12, 18.01, 18.14, 27.00, 0, -0.21, -0.01, 0.09],\n",
    "    [\"2016-11-18\", 18.12, 18.1, 18.03, 18.16, 18.00, 0, -0.19, 0.03, 0.12],\n",
    "    [\"2016-11-21\", 18.08, 18.34, 18.08, 18.68, 41.00, 0, -0.13, 0.08, 0.15],\n",
    "    [\"2016-11-22\", 18.37, 18.37, 18.28, 18.49, 52.00, 0, -0.09, 0.12, 0.17],\n",
    "    [\"2016-11-23\", 18.4, 18.84, 18.37, 18.9, 66.00, 0, -0.02, 0.17, 0.18],\n",
    "    [\"2016-11-24\", 18.77, 18.74, 18.61, 18.97, 26.00, 0, -0.02, 0.17, 0.18],\n",
    "    [\"2016-11-25\", 18.8, 18.99, 18.66, 19.02, 40.00, 0, -0.01, 0.18, 0.19],\n",
    "    [\"2016-11-28\", 19.1, 18.65, 18.52, 19.2, 85.00, 0, -0.06, 0.16, 0.19],\n",
    "    [\"2016-11-29\", 18.65, 18.75, 18.51, 18.76, 49.00, 0, -0.06, 0.17, 0.20],\n",
    "    [\"2016-11-30\", 18.76, 18.55, 18.47, 18.82, 39.00, 0, -0.08, 0.17, 0.21],\n",
    "    [\"2016-12-01\", 18.55, 18.49, 18.41, 18.64, 53.00, 0, -0.06, 0.19, 0.22],\n",
    "    [\"2016-12-02\", 18.53, 18.49, 18.24, 18.54, 48.00, 0, -0.02, 0.21, 0.23],\n",
    "    [\"2016-12-05\", 18.39, 18.66, 18.34, 18.67, 50.00, 0, 0.03, 0.25, 0.23],\n",
    "    [\"2016-12-06\", 18.66, 18.6, 18.57, 18.78, 31.00, 0, 0.08, 0.26, 0.23],\n",
    "    [\"2016-12-07\", 18.65, 18.62, 18.58, 18.71, 12.00, 0, 0.15, 0.29, 0.21],\n",
    "    [\"2016-12-08\", 18.67, 18.76, 18.62, 18.88, 26.00, 0, 0.25, 0.32, 0.19],\n",
    "    [\"2016-12-09\", 18.76, 19.2, 18.75, 19.34, 62.00, 0, 0.34, 0.33, 0.16],\n",
    "    [\"2016-12-12\", 19.16, 19.25, 18.9, 19.65, 79.00, 1, 0.34, 0.28, 0.11],\n",
    "    [\"2016-12-13\", 19.09, 18.88, 18.81, 19.2, 24.00, 0, 0.27, 0.20, 0.06],\n",
    "    [\"2016-12-14\", 18.8, 18.82, 18.8, 19.14, 32.00, 0, 0.23, 0.13, 0.02],\n",
    "    [\"2016-12-15\", 18.73, 18.24, 18.2, 18.73, 36.00, 0, 0.13, 0.05, -0.01],\n",
    "    [\"2016-12-16\", 18.24, 18.18, 18.12, 18.4, 24.00, 0, 0.10, 0.02, -0.03],\n",
    "    [\"2016-12-19\", 18.15, 18.01, 17.93, 18.18, 24.00, 0, 0.06, -0.02, -0.05],\n",
    "    [\"2016-12-20\", 17.99, 17.79, 17.7, 17.99, 29.00, 1, 0.02, -0.05, -0.05],\n",
    "    [\"2016-12-21\", 17.83, 17.81, 17.77, 17.98, 30.00, 0, 0.00, -0.05, -0.06],\n",
    "    [\"2016-12-22\", 17.85, 17.72, 17.65, 17.85, 21.00, 0, -0.03, -0.07, -0.06],\n",
    "    [\"2016-12-23\", 17.77, 17.6, 17.54, 17.77, 18.00, 0, -0.04, -0.08, -0.05],\n",
    "    [\"2016-12-26\", 17.56, 17.75, 17.39, 17.77, 16.00, 0, -0.04, -0.07, -0.05],\n",
    "    [\"2016-12-27\", 17.73, 17.71, 17.65, 17.82, 10.00, 0, -0.06, -0.07, -0.04],\n",
    "    [\"2016-12-28\", 17.72, 17.62, 17.49, 17.77, 26.00, 0, -0.09, -0.07, -0.03],\n",
    "    [\"2016-12-29\", 17.6, 17.49, 17.43, 17.62, 28.00, 0, -0.09, -0.06, -0.02],\n",
    "    [\"2016-12-30\", 17.53, 17.6, 17.47, 17.61, 22.00, 0, -0.05, -0.03, -0.01],\n",
    "    [\"2017-01-03\", 17.6, 17.92, 17.57, 17.98, 28.00, 1, 0.00, 0.00, 0.00],\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_data(origin_data) -> dict:\n",
    "    datas = []\n",
    "    times = []\n",
    "    vols = []\n",
    "    macds = []\n",
    "    difs = []\n",
    "    deas = []\n",
    "\n",
    "    for i in range(len(origin_data)):\n",
    "        datas.append(origin_data[i][1:])\n",
    "        times.append(origin_data[i][0:1][0])\n",
    "        vols.append(origin_data[i][5])\n",
    "        macds.append(origin_data[i][7])\n",
    "        difs.append(origin_data[i][8])\n",
    "        deas.append(origin_data[i][9])\n",
    "    vols = [int(v) for v in vols]\n",
    "\n",
    "    return {\n",
    "        \"datas\": datas,\n",
    "        \"times\": times,\n",
    "        \"vols\": vols,\n",
    "        \"macds\": macds,\n",
    "        \"difs\": difs,\n",
    "        \"deas\": deas,\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = split_data(echarts_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "ohlc = np.array(data['datas'])\n",
    "diff = ohlc[:, 1] - ohlc[:, 0]\n",
    "colors = plot.KlineBuilder.get_colors_by_sign(diff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = echart.KlineBuilder().add_kline(data['times'], data['datas']).markarea_range_xaxis(\"2016-08-26\", \"2016-08-31\", name='kline', series_name='kline').add_line(data['times'], ohlc[:, 1] - 1, border_color='rgb(20,20,20)', name='close').overlap('kline', 'close').add_bar(times=data['times'], values=data['vols'], colors=colors, name='vol').add_bar(times=data['times'], values=data['vols'], name='vpin').add_minors('vol').with_zoom().build()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# g = plot.KlineBuilder().add_kline(data['times'], data['datas']).with_zoom().build()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\Scripts\\\\win\\\\lhs\\\\QuantitiveProjects\\\\lhs-quant-pipeline\\\\tests\\\\demo.html'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# g.render('demo.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "            \"backgroundColor\": \"#777\"\n",
       "        }\n",
       "    },\n",
       "    \"grid\": [\n",
       "        {\n",
       "            \"show\": false,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"left\": \"5%\",\n",
       "            \"right\": \"1%\",\n",
       "            \"height\": \"60%\",\n",
       "            \"containLabel\": false,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1\n",
       "        },\n",
       "        {\n",
       "            \"show\": false,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"left\": \"5%\",\n",
       "            \"top\": \"71%\",\n",
       "            \"right\": \"1%\",\n",
       "            \"height\": \"25%\",\n",
       "            \"containLabel\": false,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_b01bc9365e9741e49353eac1ee74c92b.setOption(option_b01bc9365e9741e49353eac1ee74c92b);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1d312a10c40>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import List, Sequence, Union\n",
    "from pyecharts.globals import CurrentConfig, NotebookType, OnlineHostType\n",
    "CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_NOTEBOOK\n",
    "# OnlineHostType.NOTEBOOK_HOST 默认值为 http://localhost:8888/nbextensions/assets/\n",
    "# CurrentConfig.ONLINE_HOST = OnlineHostType.NOTEBOOK_HOST\n",
    "\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.commons.utils import JsCode\n",
    "from pyecharts.charts import Kline, Line, Bar, Grid\n",
    "\n",
    "def calculate_ma(day_count: int):\n",
    "    result: List[Union[float, str]] = []\n",
    "\n",
    "    for i in range(len(data[\"times\"])):\n",
    "        if i < day_count:\n",
    "            result.append(\"-\")\n",
    "            continue\n",
    "        sum_total = 0.0\n",
    "        for j in range(day_count):\n",
    "            sum_total += float(data[\"datas\"][i - j][1])\n",
    "        result.append(abs(float(\"%.2f\" % (sum_total / day_count))))\n",
    "    return result\n",
    "\n",
    "def draw_chart(data):\n",
    "    kline = (\n",
    "        Kline()\n",
    "        .add_xaxis(xaxis_data=data[\"times\"])\n",
    "        .add_yaxis(\n",
    "            series_name=\"\",\n",
    "            y_axis=data[\"datas\"],\n",
    "            itemstyle_opts=opts.ItemStyleOpts(\n",
    "                color=\"#ef232a\",\n",
    "                color0=\"#14b143\",\n",
    "                border_color=\"#ef232a\",\n",
    "                border_color0=\"#14b143\",\n",
    "            ),\n",
    "            markpoint_opts=opts.MarkPointOpts(\n",
    "                data=[\n",
    "                    opts.MarkPointItem(type_=\"max\", name=\"最大值\", symbol='arrow', symbol_size=30),\n",
    "                    opts.MarkPointItem(type_=\"min\", name=\"最小值\", symbol='arrow', symbol_size=30),\n",
    "                ],\n",
    "                label_opts=opts.LabelOpts(position='inside'),\n",
    "            ),\n",
    "        )\n",
    "        .set_global_opts(\n",
    "            title_opts=opts.TitleOpts(title=\"K线周期图表\", pos_left=\"0\"),\n",
    "            xaxis_opts=opts.AxisOpts(\n",
    "                type_=\"category\",\n",
    "                is_scale=True,\n",
    "                boundary_gap=False,\n",
    "                axisline_opts=opts.AxisLineOpts(is_on_zero=False),\n",
    "                splitline_opts=opts.SplitLineOpts(is_show=False),\n",
    "                split_number=20,\n",
    "                min_=\"dataMin\",\n",
    "                max_=\"dataMax\",\n",
    "#                 grid_index=0,\n",
    "            ),\n",
    "            yaxis_opts=opts.AxisOpts(\n",
    "                is_scale=True, \n",
    "                # splitline_opts=opts.SplitLineOpts(is_show=True),\n",
    "                splitarea_opts=opts.SplitAreaOpts(\n",
    "                    is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)\n",
    "                ),\n",
    "            ),\n",
    "            tooltip_opts=opts.TooltipOpts(\n",
    "                trigger=\"axis\",\n",
    "                axis_pointer_type=\"cross\",\n",
    "                background_color=\"rgba(245, 245, 245, 0.8)\",\n",
    "                border_width=1,\n",
    "                border_color=\"#ccc\",\n",
    "                textstyle_opts=opts.TextStyleOpts(color=\"#000\"),\n",
    "            ),\n",
    "            axispointer_opts=opts.AxisPointerOpts(\n",
    "                is_show=True,\n",
    "                link=[{\"xAxisIndex\": \"all\"}],\n",
    "                label=opts.LabelOpts(background_color=\"#777\"),\n",
    "            ),\n",
    "            datazoom_opts=[\n",
    "                # 滚动缩放，附带第一个附图\n",
    "                opts.DataZoomOpts(\n",
    "                    is_show=False, \n",
    "                    type_=\"inside\", \n",
    "                    xaxis_index=[0, 1, 2], \n",
    "                    range_end=100\n",
    "                ),\n",
    "                # slider 缩放\n",
    "                opts.DataZoomOpts(\n",
    "                    is_show=True, \n",
    "#                     xaxis_index=[0, 0], \n",
    "                    pos_top=\"97%\", \n",
    "                    range_end=100\n",
    "                ),\n",
    "#                 opts.DataZoomOpts(is_show=False, xaxis_index=[0, 0], range_end=100),\n",
    "            ],\n",
    "        )\n",
    "    )\n",
    "\n",
    "    kline_line = (\n",
    "        Line()\n",
    "        .add_xaxis(xaxis_data=data[\"times\"])\n",
    "        .add_yaxis(\n",
    "            series_name=\"MA5\",\n",
    "            y_axis=calculate_ma(day_count=5),\n",
    "            is_smooth=True,\n",
    "            linestyle_opts=opts.LineStyleOpts(opacity=0.5),\n",
    "            label_opts=opts.LabelOpts(is_show=False),\n",
    "        )\n",
    "        .set_global_opts(\n",
    "            xaxis_opts=opts.AxisOpts(\n",
    "                type_=\"category\",\n",
    "                grid_index=1,\n",
    "                axislabel_opts=opts.LabelOpts(is_show=False),\n",
    "            ),\n",
    "            yaxis_opts=opts.AxisOpts(\n",
    "                grid_index=1,\n",
    "                split_number=3,\n",
    "                axisline_opts=opts.AxisLineOpts(is_on_zero=False),\n",
    "                axistick_opts=opts.AxisTickOpts(is_show=False),\n",
    "                splitline_opts=opts.SplitLineOpts(is_show=False),\n",
    "                axislabel_opts=opts.LabelOpts(is_show=True),\n",
    "            ),\n",
    "        )\n",
    "    )\n",
    "    # Overlap Kline + Line\n",
    "#     overlap_kline_line = kline.overlap(kline_line)\n",
    "    overlap_kline_line = kline\n",
    "\n",
    "    # Bar-1\n",
    "    bar_1 = (\n",
    "        Bar()\n",
    "        .add_xaxis(xaxis_data=data[\"times\"])\n",
    "        .add_yaxis(\n",
    "            series_name=\"Volumn\",\n",
    "            y_axis=data[\"vols\"],\n",
    "#             xaxis_index=1,\n",
    "#             yaxis_index=1,\n",
    "            label_opts=opts.LabelOpts(is_show=False),\n",
    "            itemstyle_opts=opts.ItemStyleOpts(\n",
    "#                 color=JsCode(\n",
    "#                     \"\"\"\n",
    "#                 function(params) {\n",
    "#                     var colorList;\n",
    "#                     if (barData[params.dataIndex][1] > barData[params.dataIndex][0]) {\n",
    "#                         colorList = '#ef232a';\n",
    "#                     } else {\n",
    "#                         colorList = '#14b143';\n",
    "#                     }\n",
    "#                     return colorList;\n",
    "#                 }\n",
    "#                 \"\"\"\n",
    "#                 )\n",
    "                color=JsCode(\n",
    "                    \"\"\"\n",
    "                function(params) {{\n",
    "                    var colors = {};\n",
    "                    return colors[params.dataIndex]\n",
    "                }}\n",
    "                \"\"\".format(list(colors))\n",
    "                )\n",
    "            ),\n",
    "        )\n",
    "        .set_global_opts(\n",
    "            xaxis_opts=opts.AxisOpts(\n",
    "                type_=\"category\",\n",
    "#                 grid_index=1,\n",
    "                axislabel_opts=opts.LabelOpts(is_show=False),\n",
    "            ),\n",
    "            legend_opts=opts.LegendOpts(is_show=False),\n",
    "        )\n",
    "    )\n",
    "#     bar_1.add_js_funcs(\"var barData = {}\".format(data[\"datas\"]))\n",
    "\n",
    "    # Bar-2 (Overlap Bar + Line)\n",
    "    bar_2 = (\n",
    "        Bar()\n",
    "        .add_xaxis(xaxis_data=data[\"times\"])\n",
    "        .add_yaxis(\n",
    "            series_name=\"MACD\",\n",
    "            y_axis=data[\"macds\"],\n",
    "#             xaxis_index=2,\n",
    "#             yaxis_index=2,\n",
    "            label_opts=opts.LabelOpts(is_show=False),\n",
    "            itemstyle_opts=opts.ItemStyleOpts(\n",
    "                color=JsCode(\n",
    "                    \"\"\"\n",
    "                        function(params) {\n",
    "                            var colorList;\n",
    "                            if (params.data >= 0) {\n",
    "                              colorList = '#ef232a';\n",
    "                            } else {\n",
    "                              colorList = '#14b143';\n",
    "                            }\n",
    "                            return colorList;\n",
    "                        }\n",
    "                        \"\"\"\n",
    "                )\n",
    "            ),\n",
    "        )\n",
    "        .set_global_opts(\n",
    "            xaxis_opts=opts.AxisOpts(\n",
    "                type_=\"category\",\n",
    "#                 grid_index=2,\n",
    "                axislabel_opts=opts.LabelOpts(is_show=False),\n",
    "            ),\n",
    "            yaxis_opts=opts.AxisOpts(\n",
    "#                 grid_index=2,\n",
    "                split_number=4,\n",
    "                axisline_opts=opts.AxisLineOpts(is_on_zero=False),\n",
    "                axistick_opts=opts.AxisTickOpts(is_show=False),\n",
    "                splitline_opts=opts.SplitLineOpts(is_show=False),\n",
    "                axislabel_opts=opts.LabelOpts(is_show=True),\n",
    "            ),\n",
    "            legend_opts=opts.LegendOpts(is_show=False),\n",
    "        )\n",
    "    )\n",
    "\n",
    "    line_2 = (\n",
    "        Line()\n",
    "        .add_xaxis(xaxis_data=data[\"times\"])\n",
    "        .add_yaxis(\n",
    "            series_name=\"DIF\",\n",
    "            y_axis=data[\"difs\"],\n",
    "#             xaxis_index=2,\n",
    "#             yaxis_index=2,\n",
    "            label_opts=opts.LabelOpts(is_show=False),\n",
    "        )\n",
    "        .add_yaxis(\n",
    "            series_name=\"DIF\",\n",
    "            y_axis=data[\"deas\"],\n",
    "#             xaxis_index=2,\n",
    "#             yaxis_index=2,\n",
    "            label_opts=opts.LabelOpts(is_show=False),\n",
    "        )\n",
    "        .set_global_opts(legend_opts=opts.LegendOpts(is_show=False))\n",
    "    )\n",
    "    # 最下面的柱状图和折线图\n",
    "    overlap_bar_line = bar_2.overlap(line_2)\n",
    "\n",
    "    # 最后的 Grid\n",
    "    grid_chart = Grid(init_opts=opts.InitOpts(width=\"900px\", height=\"800px\"))\n",
    "\n",
    "    # 这个是为了把 data.datas 这个数据写入到 html 中,还没想到怎么跨 series 传值\n",
    "    # demo 中的代码也是用全局变量传的\n",
    "    grid_chart.add_js_funcs(\"var barData = {}\".format(data[\"datas\"]))\n",
    "\n",
    "    # K线图和 MA5 的折线图 \n",
    "    # is_control_axis_index=True\n",
    "    # height=\"60%\"\n",
    "    grid_chart.add(\n",
    "        overlap_kline_line,\n",
    "        grid_opts=opts.GridOpts(pos_left=\"5%\", pos_right=\"1%\", height=\"60%\"),\n",
    "#         is_control_axis_index=True,\n",
    "#         grid_index=0,\n",
    "    )\n",
    "#     Volumn 柱状图\n",
    "    grid_chart.add(\n",
    "        bar_1,\n",
    "        grid_opts=opts.GridOpts(\n",
    "            pos_left=\"5%\", pos_right=\"1%\", pos_top=\"70%\", height=\"15%\"\n",
    "        ),\n",
    "#         grid_index=1,\n",
    "    )\n",
    "#     MACD DIFS DEAS\n",
    "    grid_chart.add(\n",
    "        overlap_bar_line,\n",
    "        grid_opts=opts.GridOpts(\n",
    "            pos_left=\"5%\", pos_right=\"1%\", pos_top=\"82%\", height=\"14%\"\n",
    "        ),\n",
    "#         grid_index=2,\n",
    "    )\n",
    "    return grid_chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "gg = draw_chart(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"63b2911968d04720bc9a03c384fcaee6\" style=\"width:900px; height:800px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_63b2911968d04720bc9a03c384fcaee6 = echarts.init(\n",
       "                    document.getElementById('63b2911968d04720bc9a03c384fcaee6'), 'white', {renderer: 'canvas'});\n",
       "                    var barData = [[18.4, 18.58, 18.33, 18.79, 67.0, 1, 0.04, 0.11, 0.09], [18.56, 18.25, 18.19, 18.56, 55.0, 0, -0.0, 0.08, 0.09], [18.3, 18.22, 18.05, 18.41, 37.0, 0, 0.01, 0.09, 0.09], [18.18, 18.69, 18.02, 18.98, 89.0, 0, 0.03, 0.1, 0.08], [18.42, 18.29, 18.22, 18.48, 43.0, 0, -0.06, 0.05, 0.08], [18.26, 18.19, 18.08, 18.36, 46.0, 0, -0.1, 0.03, 0.09], [18.33, 18.07, 17.98, 18.35, 65.0, 0, -0.15, 0.03, 0.1], [18.08, 18.04, 17.88, 18.13, 37.0, 0, -0.19, 0.03, 0.12], [17.96, 17.86, 17.82, 17.99, 35.0, 0, -0.24, 0.03, 0.15], [17.85, 17.81, 17.8, 17.93, 27.0, 0, -0.24, 0.06, 0.18], [17.79, 17.93, 17.78, 18.08, 43.0, 0, -0.22, 0.11, 0.22], [17.78, 17.83, 17.78, 18.04, 27.0, 0, -0.2, 0.15, 0.25], [17.84, 17.9, 17.84, 18.06, 34.0, 0, -0.12, 0.22, 0.28], [17.97, 18.36, 17.85, 18.39, 62.0, 0, -0.0, 0.3, 0.3], [18.3, 18.57, 18.18, 19.08, 177.0, 0, 0.07, 0.33, 0.3], [18.53, 18.68, 18.3, 18.71, 95.0, 0, 0.12, 0.35, 0.29], [18.75, 19.08, 18.75, 19.98, 202.0, 1, 0.16, 0.35, 0.27], [18.85, 18.64, 18.56, 18.99, 85.0, 0, 0.09, 0.29, 0.25], [18.64, 18.44, 18.31, 18.64, 50.0, 0, 0.06, 0.27, 0.23], [18.55, 18.27, 18.17, 18.57, 43.0, 0, 0.05, 0.25, 0.23], [18.13, 18.14, 18.09, 18.34, 35.0, 0, 0.05, 0.24, 0.22], [18.01, 18.1, 17.93, 18.17, 34.0, 0, 0.07, 0.25, 0.21], [18.2, 18.14, 18.08, 18.45, 58.0, 0, 0.11, 0.25, 0.2], [18.23, 18.16, 18.0, 18.45, 47.0, 0, 0.13, 0.25, 0.19], [18.08, 18.2, 18.05, 18.25, 32.0, 0, 0.15, 0.24, 0.17], [18.15, 18.15, 18.11, 18.29, 36.0, 0, 0.13, 0.21, 0.15], [18.16, 18.19, 18.12, 18.34, 47.0, 0, 0.11, 0.18, 0.13], [18.23, 17.88, 17.7, 18.23, 62.0, 0, 0.03, 0.13, 0.11], [17.85, 17.73, 17.56, 17.85, 66.0, 0, -0.03, 0.09, 0.11], [17.79, 17.53, 17.5, 17.92, 63.0, 0, -0.1, 0.06, 0.11], [17.51, 17.04, 16.9, 17.51, 67.0, 0, -0.16, 0.05, 0.13], [17.07, 17.2, 16.98, 17.32, 55.0, 0, -0.12, 0.09, 0.15], [17.28, 17.11, 16.91, 17.28, 39.0, 0, -0.09, 0.12, 0.16], [17.13, 17.91, 17.05, 17.99, 102.0, 0, -0.01, 0.17, 0.18], [17.8, 17.78, 17.61, 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       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        },\n",
       "        {\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": false,\n",
       "            \"type\": \"inside\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"xAxisIndex\": [\n",
       "                0,\n",
       "                1,\n",
       "                2\n",
       "            ],\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"top\": \"97%\",\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ],\n",
       "    \"axisPointer\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"line\",\n",
       "        \"link\": [\n",
       "            {\n",
       "                \"xAxisIndex\": \"all\"\n",
       "            }\n",
       "        ],\n",
       "        \"label\": {\n",
       "            \"show\": true,\n",
       "            \"position\": \"top\",\n",
       "            \"margin\": 8,\n",
       "            \"backgroundColor\": \"#777\"\n",
       "        }\n",
       "    },\n",
       "    \"grid\": [\n",
       "        {\n",
       "            \"show\": false,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"left\": \"5%\",\n",
       "            \"right\": \"1%\",\n",
       "            \"height\": \"60%\",\n",
       "            \"containLabel\": false,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1\n",
       "        },\n",
       "        {\n",
       "            \"show\": false,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"left\": \"5%\",\n",
       "            \"top\": \"70%\",\n",
       "            \"right\": \"1%\",\n",
       "            \"height\": \"15%\",\n",
       "            \"containLabel\": false,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1\n",
       "        },\n",
       "        {\n",
       "            \"show\": false,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"left\": \"5%\",\n",
       "            \"top\": \"82%\",\n",
       "            \"right\": \"1%\",\n",
       "            \"height\": \"14%\",\n",
       "            \"containLabel\": false,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_63b2911968d04720bc9a03c384fcaee6.setOption(option_63b2911968d04720bc9a03c384fcaee6);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1c0edec59d0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gg.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_kline(data):\n",
    "    kline = (\n",
    "        Kline()\n",
    "        .add_xaxis(xaxis_data=data[\"times\"])\n",
    "        .add_yaxis(\n",
    "            series_name=\"\",\n",
    "            y_axis=data[\"datas\"],\n",
    "            itemstyle_opts=opts.ItemStyleOpts(\n",
    "                color=\"#ef232a\",\n",
    "                color0=\"#14b143\",\n",
    "                border_color=\"#ef232a\",\n",
    "                border_color0=\"#14b143\",\n",
    "            ),\n",
    "            markpoint_opts=opts.MarkPointOpts(\n",
    "                data=[\n",
    "                    opts.MarkPointItem(type_=\"max\", name=\"最大值\", symbol='arrow', symbol_size=30),\n",
    "                    opts.MarkPointItem(type_=\"min\", name=\"最小值\", symbol='arrow', symbol_size=30),\n",
    "                ],\n",
    "                label_opts=opts.LabelOpts(position='inside'),\n",
    "            ),\n",
    "        )\n",
    "        .set_global_opts(\n",
    "            title_opts=opts.TitleOpts(title=\"K线周期图表\", pos_left=\"0\"),\n",
    "            xaxis_opts=opts.AxisOpts(\n",
    "                type_=\"category\",\n",
    "                is_scale=True,\n",
    "                boundary_gap=False,\n",
    "                axisline_opts=opts.AxisLineOpts(is_on_zero=False),\n",
    "                splitline_opts=opts.SplitLineOpts(is_show=False),\n",
    "                split_number=20,\n",
    "                min_=\"dataMin\",\n",
    "                max_=\"dataMax\",\n",
    "#                 grid_index=0,\n",
    "            ),\n",
    "            yaxis_opts=opts.AxisOpts(\n",
    "                is_scale=True, \n",
    "                # splitline_opts=opts.SplitLineOpts(is_show=True),\n",
    "                splitarea_opts=opts.SplitAreaOpts(\n",
    "                    is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)\n",
    "                ),\n",
    "            ),\n",
    "            tooltip_opts=opts.TooltipOpts(\n",
    "                trigger=\"axis\",\n",
    "                axis_pointer_type=\"cross\",\n",
    "                background_color=\"rgba(245, 245, 245, 0.8)\",\n",
    "                border_width=1,\n",
    "                border_color=\"#ccc\",\n",
    "                textstyle_opts=opts.TextStyleOpts(color=\"#000\"),\n",
    "            ),\n",
    "            axispointer_opts=opts.AxisPointerOpts(\n",
    "                is_show=True,\n",
    "                link=[{\"xAxisIndex\": \"all\"}],\n",
    "                label=opts.LabelOpts(background_color=\"#777\"),\n",
    "            ),\n",
    "            datazoom_opts=[\n",
    "                # 滚动缩放，附带第一个附图\n",
    "                opts.DataZoomOpts(\n",
    "                    is_show=False, \n",
    "                    type_=\"inside\", \n",
    "                    xaxis_index=[0, ], \n",
    "                    range_end=100\n",
    "                ),\n",
    "                # slider 缩放\n",
    "                opts.DataZoomOpts(\n",
    "                    is_show=True, \n",
    "#                     xaxis_index=[0, 0], \n",
    "                    pos_top=\"97%\", \n",
    "                    range_end=100\n",
    "                ),\n",
    "#                 opts.DataZoomOpts(is_show=False, xaxis_index=[0, 0], range_end=100),\n",
    "            ],\n",
    "        )\n",
    "    )\n",
    "    grid_chart = Grid(init_opts=opts.InitOpts(width=\"900px\", height=\"800px\"))\n",
    "    grid_chart.add(\n",
    "        kline,\n",
    "        grid_opts=opts.GridOpts(pos_left=\"5%\", pos_right=\"1%\", height=\"85%\"),\n",
    "    )\n",
    "    return grid_chart.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"baea82926ff646b182b9b380b741e0da\" style=\"width:900px; height:800px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_baea82926ff646b182b9b380b741e0da = echarts.init(\n",
       "                    document.getElementById('baea82926ff646b182b9b380b741e0da'), 'white', {renderer: 'canvas'});\n",
       "                var option_baea82926ff646b182b9b380b741e0da = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
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